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David Piñeyro

Researcher at Catalan Institution for Research and Advanced Studies

Publications -  29
Citations -  855

David Piñeyro is an academic researcher from Catalan Institution for Research and Advanced Studies. The author has contributed to research in topics: Epigenetics & Transfer RNA. The author has an hindex of 12, co-authored 25 publications receiving 527 citations. Previous affiliations of David Piñeyro include Spanish National Research Council.

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Epigenetic prediction of response to anti-PD-1 treatment in non-small-cell lung cancer: a multicentre, retrospective analysis.

TL;DR: The epigenetic milieu of NSCLC tumours indicates which patients are most likely to benefit from nivolumab or pembrolizumab treatments, and the methylation status of FOXP1 could be associated with validated predictive biomarkers such as PD-L1 staining and mutational load to better select patients who will experience clinical benefit with PD-1 blockade.
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A-to-I editing on tRNAs: biochemical, biological and evolutionary implications.

TL;DR: Current understanding on the role of inosine in tRNAs, the enzymes that catalyze the modification and the evolutionary link between such enzymes and other deaminases are reviewed.
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Epigenetic loss of RNA-methyltransferase NSUN5 in glioma targets ribosomes to drive a stress adaptive translational program

Maxime Janin, +58 more
TL;DR: It is found that human glioma cells undergo DNA methylation-associated epigenetic silencing of NSUN5, a candidate RNA methyltransferase for 5-methylcytosine, which exhibits tumor-suppressor characteristics in vivo gliomas models and leads to the emergence of an adaptive translational program for survival under conditions of cellular stress.
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Inosine modifications in human tRNAs are incorporated at the precursor tRNA level

TL;DR: RNAseq is presented as a powerful tool to study post-transcriptional tRNA modifications at the precursor tRNA level and gives the first insights on the biology of I34 tRNA modification in metazoans.
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Molecular Features of Cancers Exhibiting Exceptional Responses to Treatment

TL;DR: Analysis of tumor biopsies from an unbiased cohort of 111 exceptional responder patients revealed synthetic lethal relationships that may be exploited therapeutically and rare genetic lesions that favor therapeutic success, while also providing a wealth of testable hypotheses regarding oncogenic mechanisms that may influence the response to cancer therapy.